Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable creating high definition maps at scale.
- Build the engineering foundations of our long-term mapping infrastructure.
- Build scalable pipelines to create, validate, maintain and visualize HD map data.
- Design and develop metrics and monitoring across the various map systems.
- Partner with map customers to capture requirements and implement new map features and intuitive APIs.
- Engineer real-time scalable, highly-available map serving for a fleet of self-driving vehicles.
Qualifications:
- BS or higher degree in EE/ CS or equivalent minimum 5 years of industry experience.
- Experience with 3D geometry
- Solid coding proficiency in Python and experience in either C++/Rust.
- Solid experience in developing production quality software, versus only creating prototypes/proof of concepts.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Experience with cloud platforms (e.g., AWS/Azure/Google Cloud).
Bonus/nice to have:
- Experience with geospatial systems and tooling such as QGIS and GDAL.
- Experience with Machine Learning.
- Experience with large-scale data processing systems (e.g., Apache Spark, Airflow).
- Experience with automated testing.
- Experience working in an Agile/Scrum environment.